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Exploring the missing link:Financial literacy and Cognitive biases in Investment Decisions 探索缺失的环节:投资决策中的金融素养和认知偏差
IF 2.4 Q3 MANAGEMENT Pub Date : 2023-11-30 DOI: 10.1108/jm2-11-2022-0266
Muhammad Ashfaq, Attayah Shafique, Viktoriia Selezneva

Purpose

The purpose of this study is to explore and understand, how strong financial literacy influences the cognitive biases of students in Germany while investing. Second, it also evaluates the most influential cognitive biases that students encounter when undertaking their investment decisions within this environment.

Design/methodology/approach

A quantitative approach is used to assess the relationship between financial literacy and students’ investment-related cognitive biases by using the frameworks proposed by Clercq (2019) and Pompian (2012).

Findings

The results advocate that the students’ financial literacy positively impacts their cognitive biases within the investment process. It additionally revealed the most significant biases regarding students’ investment decision-making and proposed the possible reasons behind their behavioral distortions.

Research limitations/implications

The study provides a detailed review of the behavioral tendencies of the younger generation while investing and creates recommendations for prospective researchers.

Originality/value

This research lies at the junction of the behavioral finance field, suggesting that it assists in developing a theoretical framework of cognitive biases within students’ financial decisions. Furthermore, it serves as an addition to the financial management subject course that would provide valuable insights about, first and foremost, financial literacy and subsequently, the theory behind the investment process.

目的本研究的目的是探讨和理解,强金融素养如何影响德国学生在投资时的认知偏差。其次,它还评估了学生在这种环境中进行投资决策时遇到的最具影响力的认知偏见。设计/方法/方法使用Clercq(2019)和Pompian(2012)提出的框架,采用定量方法评估金融素养与学生投资相关认知偏差之间的关系。研究结果表明,学生的金融素养对其在投资过程中的认知偏差有积极的影响。此外,它还揭示了学生投资决策中最显著的偏见,并提出了他们行为扭曲背后的可能原因。研究局限/启示本研究详细回顾了年轻一代在投资时的行为倾向,并为未来的研究人员提供了建议。原创性/价值本研究处于行为金融学领域的交叉点,表明它有助于建立学生财务决策中认知偏差的理论框架。此外,它还可以作为财务管理学科课程的补充,首先提供有关金融知识的宝贵见解,然后是投资过程背后的理论。
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引用次数: 0
Green hospital practices on patient’s satisfaction in Indonesian hospital: medical specialist department case investigation 印尼医院绿色医院实践对患者满意度的影响:医学专科病例调查
IF 2.4 Q3 MANAGEMENT Pub Date : 2023-11-22 DOI: 10.1108/jm2-05-2023-0108
Ngatindriatun Ngatindriatun, Muhammad Alfarizi, Rafialdo Arifian

Purpose

This study aims to explore the empirical correlation between patient flow issues, quality of green health services and patient satisfaction in specialist medical department factors from patients’ perspectives as service consumers.

Design/methodology/approach

This research is a type of nonintervention empirical research that uses an open survey to explore the views and experiences of users of specialist medical department services. The targeted population is hospital patients included in the top five national PERSI (Indonesian Hospital Association) Award 2022 Green Hospital Category, with a total number of respondents of 572 people. This study uses the partial least square-structural equation modeling analysis method with the SmartPLS application.

Findings

Patient flow problems generally affect the quality of eco-friendly health services, except for the waiting time problem, which affects service quality. It should be understood as a top priority for patients to receive services from medical specialists without risking time as a core service aspect from the patient’s perspective. In addition, all variables in eco-friendly hospital services affect patient satisfaction, except in the case of visits to specialist medical departments, which do not affect medical support services and hospital practices that are responsive to the delivery of care services resulting from medical support services that are inseparable in integrated services as well as health care following medical ethics.

Originality/value

This study has a novelty in understanding the implications of green practice in determining patient satisfaction in medical specialist department as the epicenter of hospital services and the main object of assessment for the quality of hospital services.

目的本研究旨在从患者作为服务消费者的角度,探讨专科医学科因素中患者流量问题、绿色医疗服务质量与患者满意度之间的实证关系。设计/方法/方法本研究是一种非干预实证研究,采用开放式调查来探讨专科医疗服务用户的观点和体验。目标人群是被列入前五名国家PERSI(印度尼西亚医院协会)奖2022绿色医院类别的医院患者,受访者总数为572人。本研究采用偏最小二乘结构方程建模分析方法,并结合SmartPLS应用。除等候时间问题影响服务质量外,客流问题普遍影响生态健康服务质量。从患者的角度来看,应该理解为患者在不冒时间风险的情况下接受医学专家的服务是最优先考虑的核心服务方面。此外,生态友好型医院服务的所有变量都会影响患者的满意度,但专科医疗部门的就诊情况除外,因为专科医疗部门的就诊不影响医疗支持服务和医院的做法,因为医疗支持服务是综合服务中不可分割的一部分,遵循医德的保健也会影响医疗服务的提供。独创性/价值本研究新颖之处在于了解绿色实践在确定专科医生作为医院服务的中心和医院服务质量评估的主要对象的病人满意度方面的影响。
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引用次数: 0
A fuzzy multiobjective linear programming approach for green multiechelon distribution network design 绿色多级配电网设计的模糊多目标线性规划方法
IF 2.4 Q3 MANAGEMENT Pub Date : 2023-11-21 DOI: 10.1108/jm2-05-2023-0101
Pham Duc Tai, Krit Jinawat, Jirachai Buddhakulsomsiri

Purpose

Distribution network design involves a set of strategic decisions in supply chains because of their long-term impacts on the total logistics cost and environment. To incorporate a trade-off between financial and environmental aspects of these decisions, this paper aims to determine an optimal location, among candidate locations, of a new logistics center, its capacity, as well as optimal network flows for an existing distribution network, while concurrently minimizing the total logistics cost and gas emission. In addition, uncertainty in transportation and warehousing costs are considered.

Design/methodology/approach

The problem is formulated as a fuzzy multiobjective mathematical model. The effectiveness of this model is demonstrated using an industrial case study. The problem instance is a four-echelon distribution network with 22 products and a planning horizon of 20 periods. The model is solved by using the min–max and augmented ε-constraint methods with CPLEX as the solver. In addition to illustrating model’s applicability, the effect of choosing a new warehouse in the model is investigated through a scenario analysis.

Findings

For the applicability of the model, the results indicate that the augmented ε-constraint approach provides a set of Pareto solutions, which represents the ideal trade-off between the total logistics cost and gas emission. Through a case study problem instance, the augmented ε-constraint approach is recommended for similar network design problems. From a scenario analysis, when the operational cost of the new warehouse is within a specific fraction of the warehousing cost of third-party warehouses, the solution with the new warehouse outperforms that without the new warehouse with respective to financial and environmental objectives.

Originality/value

The proposed model is an effective decision support tool for management, who would like to assess the impact of network planning decisions on the performance of their supply chains with respect to both financial and environmental aspects under uncertainty.

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引用次数: 0
Modeling barriers to social responsibility accounting (SRA) and ranking its implementation strategies to support sustainable performance – a study in an emerging market 对社会责任会计(SRA)的障碍进行建模,并对其实施策略进行排名,以支持可持续绩效——一项在新兴市场的研究
IF 2.4 Q3 MANAGEMENT Pub Date : 2023-11-20 DOI: 10.1108/jm2-12-2022-0287
Ahmad Khodamipour, Hassan Yazdifar, Mahdi Askari Shahamabad, Parvin Khajavi
<h3>Purpose</h3><p>Today, with the increasing involvement of the environment and human beings business units, paying attention to fulfilling social responsibility obligations while making a profit has become increasingly necessary for achieving sustainable development goals. Attention to profit by organizations should not be without regard to their social and environmental performance. Social responsibility accounting (SRA) is an approach that can pay more attention to the social and environmental performance of companies, but it has many barriers. Therefore, the purpose of this study is to identify barriers to SRA implementation and provide strategies to overcome these barriers.</p><!--/ Abstract__block --><h3>Design/methodology/approach</h3><p>In this study, the authors identify barriers to social responsibility accounting implementation and provide strategies to overcome these barriers. By literature review, 12 barriers and seven strategies were identified and approved using the opinions of six academic experts. Interpretive structural modeling (ISM) has been used to identify significant barriers and find textual relationships between them. The fuzzy technique for order performance by similarity to ideal solution (TOPSIS) method has been used to identify and rank strategies for overcoming these barriers. This study was undertaken in Iran (an emerging market). The data has been gathered from 18 experts selected using purposive sampling and included CEOs of the organization, senior accountants and active researchers well familiar with the field of social responsibility accounting.</p><!--/ Abstract__block --><h3>Findings</h3><p>Based on the results of this study, the cultural differences barrier was introduced as the primary and underlying barrier of the social responsibility accounting barriers model. At the next level, barriers such as “lack of public awareness of the importance of social responsibility accounting, lack of social responsibility accounting implementation regulations and organization size” are significant barriers to social responsibility accounting implementation. Removing these barriers will help remove other barriers in this direction. In addition, the results of the TOPSIS method showed that “mandatory regulations, the introduction of guidelines and social responsibility accounting standards,” “regulatory developments and government incentive schemes to implement social responsibility accounting,” as well as “increasing public awareness of the benefits of social responsibility accounting” are some of the essential social responsibility accounting implementation strategies.</p><!--/ Abstract__block --><h3>Practical implications</h3><p>The findings of the study have implications for both professional accounting bodies for developing the necessary standards and for policymakers for adopting policies that facilitate the implementation of social responsibility accounting to achieve sustainability.</p><!--/ Abstract__block
今天,随着环境和人类业务单位越来越多地参与进来,在盈利的同时注重履行社会责任义务对实现可持续发展目标越来越有必要。组织对利润的关注不应忽视其社会和环境绩效。社会责任会计(SRA)是一种更关注企业社会和环境绩效的方法,但它存在许多障碍。因此,本研究的目的是确定SRA实施的障碍,并提供克服这些障碍的策略。在本研究中,作者确定了社会责任会计实施的障碍,并提供了克服这些障碍的策略。通过文献综述,确定了12个障碍和7个策略,并采用了6位学术专家的意见。解释结构建模(ISM)已被用于识别重要的障碍并找到它们之间的文本关系。基于理想解相似性的排序性能模糊技术(TOPSIS)被用于识别和排序克服这些障碍的策略。这项研究是在伊朗(一个新兴市场)进行的。这些数据是通过有目的的抽样从18位专家中挑选出来的,其中包括该组织的首席执行官、资深会计师和熟悉社会责任会计领域的活跃研究人员。在研究结果的基础上,引入文化差异障碍作为社会责任会计障碍模型的主要和潜在障碍。在下一个层面上,“公众对社会责任会计的重要性认识不足、社会责任会计实施规范缺失、组织规模不足”等障碍是社会责任会计实施的重要障碍。消除这些障碍将有助于消除这个方向上的其他障碍。此外,TOPSIS方法的结果显示,“强制性法规、指南和社会责任会计准则的出台”、“实施社会责任会计的监管发展和政府激励计划”以及“提高公众对社会责任会计效益的认识”是一些必不可少的社会责任会计实施策略。本研究的结果对专业会计机构制定必要的标准和政策制定者采取促进社会责任会计实施以实现可持续发展的政策具有启示意义。社会意义本文为社会责任会计的实际实施创造了一个新的视角,它与通过提高可持续性来改善环境绩效和增加社会福利密切相关。独创性/价值专家认为,上述策略将非常有效,有助于消除模型较低层次的障碍。据作者所知,本研究首次建立了社会责任会计障碍模型,并对最关键的实施策略进行了排名。
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引用次数: 0
An inventory model of e-marketplace with a promotional program 带有促销计划的电子市场库存模式
IF 2.4 Q3 MANAGEMENT Pub Date : 2023-11-20 DOI: 10.1108/jm2-01-2023-0011
Md Rakibul Hasan, Yosef Daryanto, Chefi Triki, Adel Elomri

Purpose

The rapidly growing e-commerce industry with its special characteristics brings new challenges to the optimization of the supply chain and inventory management. This study aims to investigate the inventory-related optimization of an e-marketplace official store that works on a business-to-customer system when cashback promotion is used to attract more customers. Also, it proposes a new inventory model to maximize the e-commerce profit by optimizing the cashback amount and delivery period.

Design/methodology/approach

The proposed model assumes that customer demand is a function of price and delivery time and that price is affected by the cashback amount. The e-commerce operator has a profit-sharing contract with an e-payment company that facilitates the payment. E-commerce also builds collaboration under a cost-sharing contract with a supplier to ensure product delivery. A mathematical model is developed and the related theories are investigated. A numerical example illustrates the validity of the model and a sensitivity analysis is carried out to give useful insights.

Findings

A new inventory model for an e-market system has been introduced which shows the impact of a cashback promotion on the e-commerce business. This study shows that managers can optimize the cashback amount and its delivery time to get the maximum profit. In certain cases, the manager may set a high cashback amount (e.g. 100%) to attract customers to place more orders.

Originality/value

This study presents a new inventory model for today’s fast-growing e-commerce business; therefore, the results contribute to the understanding of promotion program practices and inventory management and provide insights to develop efficient e-commerce managerial decisions.

Graphical abstract

目的快速发展的电子商务行业以其特有的特点对供应链优化和库存管理提出了新的挑战。本研究旨在探讨电子市场官方商店在企业对客户系统中,当使用返现促销来吸引更多客户时,与库存相关的优化。提出了一种新的库存模型,通过优化返现金额和交货期实现电子商务利润最大化。设计/方法/方法提出的模型假设客户需求是价格和交货时间的函数,价格受现金返还金额的影响。电子商务运营商与便利支付的电子支付公司签订了利润分享合同。电子商务还在与供应商的成本分担合同下建立合作,以确保产品交付。建立了数学模型,并对相关理论进行了研究。数值算例说明了模型的有效性,并进行了灵敏度分析,给出了有用的见解。引入了一个新的电子市场系统库存模型,该模型显示了现金返还促销对电子商务业务的影响。研究表明,管理者可以通过优化现金返还金额及其交付时间来获得最大的利润。在某些情况下,经理可能会设定较高的现金返还金额(例如100%)来吸引客户下更多的订单。原创性/价值本研究为当今快速增长的电子商务业务提供了一个新的库存模型;因此,研究结果有助于理解促销计划实践和库存管理,并为制定有效的电子商务管理决策提供见解。图形抽象
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引用次数: 0
Stock market volatility: a systematic review 股票市场波动:系统回顾
Q3 MANAGEMENT Pub Date : 2023-11-14 DOI: 10.1108/jm2-04-2023-0080
Barkha Dhingra, Shallu Batra, Vaibhav Aggarwal, Mahender Yadav, Pankaj Kumar
Purpose The increasing globalization and technological advancements have increased the information spillover on stock markets from various variables. However, there is a dearth of a comprehensive review of how stock market volatility is influenced by macro and firm-level factors. Therefore, this study aims to fill this gap by systematically reviewing the major factors impacting stock market volatility. Design/methodology/approach This study uses a combination of bibliometric and systematic literature review techniques. A data set of 54 articles published in quality journals from the Australian Business Deans Council (ABDC) list is gathered from the Scopus database. This data set is used to determine the leading contributors and contributions. The content analysis of these articles sheds light on the factors influencing market volatility and the potential research directions in this subject area. Findings The findings show that researchers in this sector are becoming more interested in studying the association of stock markets with “cryptocurrencies” and “bitcoin” during “COVID-19.” The outcomes of this study indicate that most studies found oil prices, policy uncertainty and investor sentiments have a significant impact on market volatility. However, there were mixed results on the impact of institutional flows and algorithmic trading on stock volatility, and a consensus cannot be established. This study also identifies the gaps and paves the way for future research in this subject area. Originality/value This paper fills the gap in the existing literature by comprehensively reviewing the articles on major factors impacting stock market volatility highlighting the theoretical relationship and empirical results.
随着全球化和技术进步的加剧,从各个变量来看,股票市场的信息外溢效应增加。然而,缺乏对股票市场波动如何受到宏观和公司层面因素影响的全面审查。因此,本研究旨在通过系统回顾影响股票市场波动的主要因素来填补这一空白。设计/方法/方法本研究结合了文献计量学和系统文献综述技术。从Scopus数据库中收集了澳大利亚商学院院长委员会(ABDC)名单中发表在高质量期刊上的54篇文章的数据集。此数据集用于确定主要贡献者和贡献。通过对这些文章的内容分析,揭示了影响市场波动的因素和本学科领域潜在的研究方向。调查结果显示,在“COVID-19”期间,该领域的研究人员对研究股票市场与“加密货币”和“比特币”之间的关系越来越感兴趣。本研究结果表明,大多数研究发现油价、政策不确定性和投资者情绪对市场波动有显著影响。然而,关于机构流量和算法交易对股票波动的影响,结果好坏参半,无法达成共识。本研究还确定了差距,并为该主题领域的未来研究铺平了道路。本文通过对影响股市波动主要因素的文章进行综合梳理,突出理论关系和实证结果,填补了现有文献的空白。
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引用次数: 0
An artificial bee colony algorithm for medical goods distribution and pharmacological waste collection by hybrid vehicles considering environmental criteria 考虑环境标准的混合动力汽车医疗物资配送和药物废物收集的人工蜂群算法
Q3 MANAGEMENT Pub Date : 2023-11-06 DOI: 10.1108/jm2-04-2022-0100
Javad Behnamian, Z. Kiani
Purpose This paper aims to focus on a medical goods distribution problem and pharmacological waste collection by plug-in hybrid vehicles with some real-world restrictions. In this research, considering alternative energy sources and simultaneous pickup and delivery led to a decrease in greenhouse gas emissions and distribution costs, respectively. Design/methodology/approach Here, this problem has been modeled as mixed-integer linear programming with the traveling and energy consumption costs objective function. The GAMS was used for model-solving in small-size instances. Because the problem in this research is an NP-hard problem and solving real-size problems in a reasonable time is impossible, in this study, the artificial bee colony algorithm is used. Findings Then, the algorithm results are compared with a simulated annealing algorithm that recently was proposed in the literature. Finally, the results obtained from the exact solution and metaheuristic algorithms are compared, analyzed and reported. The results showed that the artificial bee colony algorithm has a good performance. Originality/value In this paper, medical goods distribution with pharmacological waste collection is studied. The paper was focused on plug-in hybrid vehicles with simultaneous pickup and delivery. The problem was modeled with environmental criteria. The traveling and energy consumption costs are considered as an objective function.
目的:研究在现实条件下插电式混合动力汽车的医疗物资配送问题和药物废弃物收集问题。在本研究中,考虑替代能源和同时取货和交货分别导致温室气体排放和配送成本的减少。在这里,这个问题被建模为混合整数线性规划,目标函数为交通和能源消耗成本。GAMS用于小尺寸实例的模型求解。由于本研究的问题是NP-hard问题,不可能在合理的时间内解决实际规模的问题,因此本研究采用了人工蜂群算法。然后,将算法结果与最近在文献中提出的模拟退火算法进行比较。最后,对精确解和元启发式算法得到的结果进行了比较、分析和报告。结果表明,该人工蜂群算法具有良好的性能。本文研究了药物废弃物回收的医疗物资配送问题。本文的重点是插电式混合动力汽车同时取货和交付。这个问题是用环境标准来模拟的。将交通成本和能源消耗成本作为目标函数。
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引用次数: 0
Fostering supply chain agility by prominent enablers’ identification and developing conceptual modeling based on the ISM-MICMAC approach 通过突出的推动者识别和基于ISM-MICMAC方法开发概念建模来促进供应链敏捷性
Q3 MANAGEMENT Pub Date : 2023-11-01 DOI: 10.1108/jm2-01-2023-0002
Yesim Can Saglam
Purpose Today’s marketplace has witnessed intense competitive pressures and high levels of uncertainty and disruption. Therefore, supply chains require agility to obtain a sustainable competitive advantage and cope with uncertainties as well as disruptions. Although a wide range of studies exists on supply chain agility (SCA) from the perspective of antecedents or consequences, there is little research on the investigation of enablers of SCA and their relations among them. Furthermore, the literature has investigated proactive and reactive enablers for enhancing SCA, but most studies have not sufficiently framed their analysis of both aspects synchronically. This paper aims to find out the interrelationships among the proactive and reactive enablers for enhancing SCA. Design/methodology/approach An extensive literature review has been conducted to identify SCA enablers and a Delphi study has been performed to elucidate SCA enablers in the manufacturing industry in Turkey. Interpretive structural modeling (ISM) has been used to identify the contextual relationship among the SCA enablers, and the model has been validated based on Matriced Impact Croises Multiplication Appliquee a un Classement (MICMAC) analysis. Findings On theoretical and practical levels, the proposed ISM model in this study can help organizations analyze and interpret interrelationships among enablers of SCA. For managers, it can provide better insights and understanding of the facilitators of SCA to enhance the effectiveness of the supply chain and cope with uncertainties and turbulence. According to results, enhancing “supply and demand side competency”, “delivery speed” and “strategic sourcing” are the most significant enablers of SCA. Originality/value The study extends the existing literature related to the enablers of SCA by modeling the proactive and reactive enablers of SCA based on the Al Humdan et al. (2020) classification. Arranging the enablers of SCA in a hierarchy and classifying the enablers into different levels with the help of the ISM-MICMAC approach is an exclusive effort to achieve successful management of the supply chain.
今天的市场见证了激烈的竞争压力和高度的不确定性和破坏。因此,供应链需要敏捷性,以获得可持续的竞争优势,并应对不确定性和中断。尽管从前因或后果的角度对供应链敏捷性(SCA)进行了广泛的研究,但对SCA的促成因素及其相互关系的研究却很少。此外,文献已经研究了增强SCA的主动和被动使能因素,但大多数研究没有充分地同时分析这两个方面。本文旨在找出增强SCA的主动促成因素和被动促成因素之间的相互关系。设计/方法/方法进行了广泛的文献综述,以确定SCA促进因素,并进行了德尔福研究,以阐明土耳其制造业中的SCA促进因素。解释结构建模(ISM)已被用于识别SCA驱动程序之间的上下文关系,并且该模型已基于矩阵影响循环乘法应用类(MICMAC)分析进行了验证。在理论和实践层面,本研究提出的ISM模型可以帮助组织分析和解释SCA促成因素之间的相互关系。对于管理者来说,它可以更好地洞察和理解SCA的促进因素,以提高供应链的有效性,应对不确定性和动荡。结果表明,提高“供需侧能力”、“交付速度”和“战略采购”是SCA最重要的推动因素。原创性/价值本研究基于Al Humdan等人(2020)的分类,通过对SCA的主动和被动促成因素进行建模,扩展了与SCA促成因素相关的现有文献。在ISM-MICMAC方法的帮助下,在层次结构中安排SCA的促成因素并将促成因素分类到不同的级别,这是实现供应链成功管理的唯一努力。
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引用次数: 0
Determination of disease risk factors using binary data envelopment analysis and logistic regression analysis (case study: a stroke risk factors) 使用二元数据包络分析和逻辑回归分析确定疾病危险因素(案例研究:卒中危险因素)
Q3 MANAGEMENT Pub Date : 2023-10-16 DOI: 10.1108/jm2-09-2022-0224
Maedeh Gholamazad, Jafar Pourmahmoud, Alireza Atashi, Mehdi Farhoudi, Reza Deljavan Anvari
Purpose A stroke is a serious, life-threatening condition that occurs when the blood supply to a part of the brain is cut off. The earlier a stroke is treated, the less damage is likely to occur. One of the methods that can lead to faster treatment is timely and accurate prediction and diagnosis. This paper aims to compare the binary integer programming-data envelopment analysis (BIP-DEA) model and the logistic regression (LR) model for diagnosing and predicting the occurrence of stroke in Iran. Design/methodology/approach In this study, two algorithms of the BIP-DEA and LR methods were introduced and key risk factors leading to stroke were extracted. Findings The study population consisted of 2,100 samples (patients) divided into six subsamples of different sizes. The classification table of each algorithm showed that the BIP-DEA model had more reliable results than the LR for the small data size. After running each algorithm, the BIP-DEA and LR algorithms identified eight and five factors as more effective risk factors and causes of stroke, respectively. Finally, predictive models using the important risk factors were proposed. Originality/value The main objective of this study is to provide the integrated BIP-DEA algorithm as a fast, easy and suitable tool for evaluation and prediction. In fact, the BIP-DEA algorithm can be used as an alternative tool to the LR model when the sample size is small. These algorithms can be used in various fields, including the health-care industry, to predict and prevent various diseases before the patient’s condition becomes more dangerous.
中风是一种严重的、危及生命的疾病,当大脑的一部分血液供应被切断时就会发生。中风越早得到治疗,可能发生的损害就越小。及时准确的预测和诊断是加快治疗的方法之一。本文旨在比较二进制整数规划-数据包络分析(BIP-DEA)模型和逻辑回归(LR)模型对伊朗脑卒中的诊断和预测。设计/方法/方法本研究引入了BIP-DEA和LR两种算法,提取了导致脑卒中的关键危险因素。研究人群包括2100个样本(患者),分为6个不同大小的亚样本。从各算法的分类表可以看出,在数据量较小的情况下,BIP-DEA模型的结果比LR更可靠。在运行每个算法后,BIP-DEA和LR算法分别确定了8个和5个更有效的中风危险因素和原因。最后,提出了基于重要风险因素的预测模型。本研究的主要目的是提供集成的BIP-DEA算法作为一种快速、简便、适用的评估和预测工具。事实上,在样本量较小的情况下,BIP-DEA算法可以作为LR模型的替代工具。这些算法可用于包括医疗保健行业在内的各个领域,在患者病情变得更危险之前预测和预防各种疾病。
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引用次数: 0
Modelling the inhibitors of integrated sustainable lean manufacturing system in the South Indian SMEs using fuzzy logic 利用模糊逻辑对南印度中小企业集成可持续精益制造系统的阻碍因素进行建模
Q3 MANAGEMENT Pub Date : 2023-10-10 DOI: 10.1108/jm2-05-2023-0107
Vivek Gopi, Saleeshya P.G.
Purpose Small and medium-scale enterprises (SMEs) that operate with modest financial investments and commodities face numerous challenges to remain in business. One major philosophy used by SMEs these days is the implementation of lean manufacturing to get solutions for various issues they encounter. But is lean getting sustained over time? The purpose of this research is to design a Sustainable Lean Performance Index (SLPI) to assess the sustainability of lean systems and to pinpoint the variables that might be present as potential lean system inhibitors which hinder the sustainability of leanness. Design/methodology/approach A multi-level sustainable lean performance model is constructed and presented based on the literature research, field investigation and survey conducted by administering a questionnaire. Fuzzy logic approach is used to analyse the multi-level model. Findings SLPI for the SMEs is found using fuzzy logic approach. Additionally, the ranking score system is applied to categorise attributes into weak and strong categories. The performance of the current lean system is determined to be “fair” based on the Euclidean distance approach and the SLPI for SMEs. Research limitations/implications This work is concentrated only in South India because of the country’s vast geographical area and rich and wide diversity in industrial culture of the nation. Hence, more work can be done incorporating the other parts of the country and can analyse the lean behaviour in a comparative manner. Practical implications The generalised sustainable lean model analysed using fuzzy logic identifies the inhibitors and level of performance of SMEs in South India. This can be implemented to find out the level of performance in the SMEs after a deeper study and analysis around the SMEs of the country. Originality The sustainable assessment of lean parameters in the SMEs of India is found to be very less in literature, and it lacks profundity. The model established in this study assesses the sustainability of the lean methodology adopted in SMEs by considering the lean and sustainability attributes along with enablers like technology, ethics, customer satisfaction and innovation with the aid of fuzzy logic.
以适度的金融投资和大宗商品经营的中小型企业(SMEs)面临着许多维持业务的挑战。目前中小企业使用的一个主要理念是实施精益生产,以解决他们遇到的各种问题。但精益是否会持续一段时间呢?本研究的目的是设计一个可持续的精益绩效指数(SLPI)来评估精益系统的可持续性,并指出可能作为潜在的精益系统抑制剂存在的变量,这些变量阻碍了精益的可持续性。通过文献研究、实地调研和问卷调查,构建并提出了一个多层次的可持续精益绩效模型。采用模糊逻辑方法对多级模型进行分析。结果运用模糊逻辑方法找到了中小企业的SLPI。此外,排名分数系统用于将属性分为弱和强类别。基于欧几里得距离法和中小企业的SLPI,确定当前精益系统的性能为“公平”。这项工作只集中在南印度,因为该国广阔的地理区域和丰富多样的工业文化。因此,可以做更多的工作来结合该国的其他地区,并可以以比较的方式分析精益行为。应用模糊逻辑分析的广义可持续精益模型确定了南印度中小企业绩效的抑制因素和水平。这可以通过对全国中小企业的深入研究和分析,来了解中小企业的绩效水平。印度中小企业精益参数的可持续评价文献很少,缺乏深度。本研究建立的模型借助模糊逻辑,通过考虑精益和可持续性属性以及技术、道德、客户满意度和创新等使能因素,来评估中小企业采用精益方法论的可持续性。
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引用次数: 1
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Journal of Modelling in Management
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